Roles of Shared Ontology in AI-ED Research-猫眼课题宝

共享本体在 AI-ED 研究中的作用

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1998

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作者：

R. Mizoguchi;Mitsuru Ikeda;Katherine M. Sinitsa

迄今为止，人们对人工智能教育进行了大量的研究。虽然我们有许多理论和实施系统，其中一些在实践中使用，但我们仍然需要有希望的方向，我们应该投入努力，以使AI-ED研究取得进一步的进展。本文讨论了人工智能教育研究的长远前景，旨在为进一步推动研究和享受人工智能教育社区的光明繁荣提供清晰的视角。这里的主要主题是如何在企业信息系统中设计知识。为了做到这一点，我们分析了智能系统，并展示了现有智能系统共有的一个基本属性，即“系统所知的陈述性表示”。在此基础上，讨论了本体工程作为人工智能的一个创新研究领域的重要性。本体在克服当前工业集成系统的缺陷方面起着重要的作用。(1)它使系统变得智能并具有反射性。(2)阐述了该制度所依据的概念。(3)有助于词汇的规范化。(4)它使它们能够识字，从而与人类交流。(5)使知识可重用，等等。在本文中，我们讨论了本体如何对IES研究做出贡献，并举例说明了它如何创建创作系统

A lot of research on AI-ED has been done to date. Although we have many theories and implemented systems some of which are used in practice, we still need promising directions to which effort should be devoted in order to enable further progress of AI-ED research. This paper discusses long-term perspectives of AI-ED research aiming at giving a clear view of what we need for further promoting the research and for enjoying the bright prosperity of AI-ED community. The main topic here is how to engineer knowledge in IESs. To do this, we analyze intelligent systems and show one of the essential properties common to existing intelligent systems is "Declarative representation of what the system knows". On the basis of this observation, we discuss the importance of ontology engineering which is a innovative research area in artificial intelligence. Ontology plays several roles critical to overcoming the drawbacks which the current IESs have. (1) It makes systems smart and reflexive. (2) It explicates the conceptualization on which the system is based. (3) It contributes to standardization of vocabulary. (4) It enables them to be literate and hence to communicate with humans. (5) It makes knowledge reusable, and so forth. In this paper, we discuss how ontology contributes to IES research in general and exemplify how it makes authoring systems

Roles of Shared Ontology in AI-ED Research

共享本体在 AI-ED 研究中的作用

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